Heterogeneous SAR texture characterization by means of Markov random fields

Author

Belhadj, Ziad ; Bouhlel, Nizar ; Ghalila, Sylvie Sevestre ; Boussema, Mohamed Rached

Author_Institution

SUPCOM, El Ghazala, Tunisia

Volume

2

fYear

2000

fDate

2000

Firstpage

579

Abstract

The purpose of this paper is to develop a new method for heterogeneous SAR texture modeling and characterization. It reposed on a Markov random field modeling. The K-distribution, derived under multiplicative model assumption, is shown to be an efficient model to characterize SAR signals at global scale. In order to characterize details of the texture, a local Markov model “auto-gamma” is derived and based on the global model

Keywords

Markov processes; geophysical signal processing; geophysical techniques; image texture; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; K-distribution; Markov random field; Markov random fields; auto-gamma; geophysical measurement technique; heterogeneous SAR texture characterization; image texture; land surface; local Markov model; model; multiplicative model assumption; radar imaging; radar remote sensing; synthetic aperture radar; terrain mapping; Classification algorithms; Image analysis; Image restoration; Layout; Markov random fields; Parameter estimation; Radar applications; Radar imaging; Radar remote sensing; Speckle;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.861636

Filename

861636